McDonald's
Data Engineer III
Chicago, IL, US · Mid
Sponsorship not specified$138k-$173kDetected 1 day ago
JavaScriptPythonNode.jsCode ReviewGitSQLAWSGCPCI/CDDevOpsKafkaSparkData EngineeringAgileProblem Solving
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odds of building a lasting career here
57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 11 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card follow-through: 50%
Of 8 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 485 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
DOL often reclassifies their job titles
The Department of Labor assigned a different occupation than this employer requested on 46% of its 13 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.
Files H-1B transfers
20 transfer filings in the last year, covering 20 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Company Description: McDonald's is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily.
- Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential.
Responsibilities
- Duties Customer Data Engineering & Integration Design, develop, test, and support customer data pipelines that ingest, transform, enrich, and distribute customer data across the mParticle ecosystem.
- Support onboarding of new data sources, attributes, customer events, and downstream activation integrations.
- Configure and support activation feeds to downstream marketing and personalization platforms, ensuring data accuracy and timeliness.
- Partner with Product and MarTech teams to implement audience strategies including onboarding, re-engagement, loyalty, churn mitigation, and personalization use cases.
- Support event-driven integration patterns that enable low-latency customer activation and personalization scenarios.
- Data Quality & Operational Excellence Implement automated validation, reconciliation, and quality checks across customer data pipelines.
- Maintain documentation for data flows, mappings, business logic, and operational procedures.
- Engineering Delivery Independently manage and deliver complex engineering work items with minimal supervision.
- Collaborate with team members during sprint planning, solution design, testing, and deployment activities.
- We promote an inclusive work environment that creates feel-good moments for everyone.
Nice to have
- We continue to operate from a position of strength.
- Our relentless ambition is why McDonald's remains one of the world's leading corporations after almost 70 years.
- Joining McDonald's means thinking big and preparing for a career that can have influence around the world.
- Assist with implementation and maintenance of eventing platforms such as Kafka, Confluent, or managed messaging services.
- 5-8+ years of professional Data Engineering experience.
- Expert-level SQL, including complex joins, window functions, optimization, and large-scale data analysis.
- Strong kwnoledg of programing languages such as Python, SQL, JavaScript or Node.js Experience with DevOps & Reliability - CI/CD pipelines, Git-base development workflows.
Skills
- 3+ years working with cloud-native data platforms on GCP, AWS, or Azure.
Compensation
- Long - Term Incentive:
- Yes Salary Range The expected salary range for this role is $138,207.00 - $172,758.00 per year The above represents the expected salary range for this job requisition.
Benefits
- Bonus eligible:
- This position is eligible for a bonus, calculated based on individual and company performance.
- This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
Company info
- Job Description: Company Description: McDonald's is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily.
- Department Overview We are seeking a highly skilled Data Engineer III to join the mCDP mParticle engineering team.
- We lead through our values centered on inclusivity, service, integrity, community and family.
- From support of Ronald McDonald House to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet.
Equal opportunity
- McDonald's is an equal opportunity employer committed to the diversity of our workforce.
- equal opportunity employer committed to the diversity of our workforce.
- If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com.
Visa & Work Authorization
- xual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or
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This listing is sourced directly from McDonald's's careers page and normalized into a canonical job model.